public IBuilder BuildContainer(Control parent, GroupBox element = null, string elementText = null)
{
LabelsContainer container = new LabelsContainer(parent, element, elementText);
this.container.AddChild(container);
return(new ContainersBuilder(container));
}
public void AddVisualLabel(LabelsContainer source, bool addToMessage)
{
// Create display object
var ctrl = new ContentControl {
Content = source
};
var container = new InlineUIContainer(ctrl, Editor.CaretPosition);
contentEnd = container.ContentEnd;
if (addToMessage && Message != null)
{
Message.AddLabel(new Label(source.Labelname));
}
// Remove any typed text
WordBreaker.GetWordRange(Editor.CaretPosition).Text = String.Empty;
// Move caret to end of what was the word
Editor.CaretPosition = contentEnd;
Editor.ShowWatermark = false;
// Hide dropdown list if it is visible
HideList();
}
void Button_Click(object sender, RoutedEventArgs e)
{
var labels = LabelsEditor.GetVisualLabels();
// Add selected labels to all messages that don't have one yet
foreach (var message in _messages)
{
foreach (var label in labels)
{
LabelsContainer label1 = label;
if (!message.LabelsList.Any(l => l.Labelname.ToLower() == label1.Labelname.ToLower()))
{
message.AddLabel(new Label(label1.Labelname));
}
}
}
// Add selected labels to all documents that don't have one yet
//foreach (var document in _documents)
//{
// foreach (var label in labels)
// {
// LabelsContainer label1 = label;
// if (!document.LabelsList.Any(l => l.Labelname.ToLower() == label1.Labelname.ToLower()))
// document.AddLabel(label1.Labelname);
// }
//}
Close();
}
static List <ImageDescription> CombineImages(ImagesContainer trainIC, LabelsContainer trainLC)
{
var ret = new List <ImageDescription>();
for (int i = 0; i < trainIC.ImagesCount; i++)
{
ret.Add(new ImageDescription()
{
Image = trainIC.Images[i], Label = trainLC.Labels[i]
});
}
return(ret);
}
static void Main(string[] args)
{
var config = new
{
EpochsCount = 10,
HiddenLayerSize = 50,
CrossEntropyError = 0.005f,
LearningRate = 0.01f
};
Stopwatch sw = new Stopwatch();
sw.Start();
ImagesContainer trainIC = new ImagesContainer(trainImagesPath);
LabelsContainer trainLC = new LabelsContainer(trainLabelsPath);
var imageSize = trainIC.ImagesWidth * trainIC.ImagesHeight;
Console.WriteLine("Initializing of neural network...");
NeuralNetwork NN = new NeuralNetwork(imageSize, config.HiddenLayerSize, 10, config.LearningRate);
var combinedData = CombineImages(trainIC, trainLC);
Console.WriteLine("Begin training...");
NN.Train(combinedData, config.EpochsCount, config.CrossEntropyError);
sw.Stop();
Console.WriteLine($"Training complete in {sw.ElapsedMilliseconds} milliseconds");
Console.WriteLine("\r\n______________________________\r\n");
ImagesContainer testIC = new ImagesContainer(testImagesPath);
LabelsContainer testLC = new LabelsContainer(testLabelsPath);
var combinedTestData = CombineImages(testIC, testLC);
Console.WriteLine("Begin training...");
NN.Test(combinedTestData, config.CrossEntropyError);
Console.ReadLine();
}
public ContainersBuilder(LabelsContainer container)
{
this.container = container;
}
